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SiTHv2 — Terrestrial Evapotranspiration & Soil Moisture

SiTHv2 (Simple Terrestrial Hydrosphere model, version 2) is a physically-based ecohydrological dataset of global terrestrial evapotranspiration and soil moisture. All files are hosted on Cloudflare R2 and served via direct HTTPS links -- batch download with wget, aria2 or curl is fully supported.

1982–2022 · 41 years Global · 0.1° Daily / Monthly / Yearly NetCDF-4 Continuously Updated "Outstanding Dataset" · National Earth Observation Data Center (China)

Go to Download TPDC Archive (DOI) How to Cite

Model Framework

GSPAC continuum

Groundwater, soil, plant and atmosphere coupled in one physically based scheme.

Root-aware transpiration

Potential transpiration is allocated across soil layers by root distribution and soil water status.

Bayesian optimization

Key parameter functions identified from global eddy-covariance observations via data–model fusion.

Variables

Note: CF-compliant NetCDF-4, dimensions (time, lat, lon). SM files include an additional layer dimension (3 soil layers in one file). Raw values are stored as compressed integers. Convert to float and divide by the scale factor for use （原始数值为整型压缩存储，使用时请先转换成浮点型，再除以对应的缩放系数）: physical_value = float(stored_value) ÷ scale_factor.

Download

Batch Download Quick Start

Use the filters below to pick variables / frequency / years, then click Download Manifest (.txt) to get a link list;
Run wget -c -i sithv2_files.txt — batch download with resume support;
For faster multi-connection download: aria2c -x 8 -s 8 -i sithv2_files.txt.

# Batch download (resumable) with a manifest from this page:
wget -c -i sithv2_files.txt

# Faster, 8 connections per file:
aria2c -x 8 -s 8 -i sithv2_files.txt

# Single file (copy any link from the table below):
wget -c <file-url>

Variable Frequency Year

File	Variable	Frequency	Period	Size	Action

Citation & Terms

If you use the SiTHv2 dataset in your research, please cite the dataset paper: （使用本数据集发表论文时，请引用SiTHv2数据集论文）

Zhang, K., Chen, H., Ma, N., Shang, S., Wang, Y., Xu, Q., & Zhu, G. (2024). A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020. Scientific Data, 11(1), 445. https://doi.org/10.1038/s41597-024-03271-7

Related Papers

Zhang, K., Zhu, G., Ma, N., Chen, H., & Shang, S. (2022). Improvement of evapotranspiration simulation in a physically based ecohydrological model for the groundwater–soil–plant–atmosphere continuum. Journal of Hydrology, 613, 128440. doi:10.1016/j.jhydrol.2022.128440
Zhu, G., Zhang, K., Chen, H., Wang, Y., Su, Y., Zhang, Y., & Ma, J. (2019). Development and evaluation of a simple hydrologically based model for terrestrial evapotranspiration simulations. Journal of Hydrology, 577, 123928. doi:10.1016/j.jhydrol.2019.123928
Chen, H., Zhang, K., Zhu, G., Fan, L., Li, X., Wang, Y., Wang, X., Shang, S., Jia, J., Zhu, Y., & Xiao, J. (2025). The trend and interannual variability in the global terrestrial evapotranspiration are respectively dominated by humid regions and drylands. Journal of Hydrology, 134879. doi:10.1016/j.jhydrol.2025.134879

The dataset is released for academic research and education. 数据集仅供科研与教学使用。

Questions / 数据问题

Broken links, data questions or collaboration: zhangkun3@mail.sysu.edu.cn